{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:45.921995Z",
     "start_time": "2021-11-14T04:51:45.899027Z"
    }
   },
   "outputs": [],
   "source": [
    "# 导入库\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "%matplotlib inline\n",
    "# 中文乱码的处理\n",
    "plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']# 设置微软雅黑字体\n",
    "plt.rcParams['axes.unicode_minus'] = False # 避免坐标轴不能正常的显示负号\n",
    "\n",
    "rc = {'font.sans-serif': 'Microsoft YaHei',\n",
    "      'axes.unicode_minus': False}\n",
    "sns.set(font='Microsoft YaHei')  # 解决Seaborn中文显示问题\n",
    "sns.set(context='notebook', style='ticks', rc=rc)\n",
    "\n",
    "# jupyter内嵌图表\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 任务 2 肥料产品的数据分析\n",
    "## 任务 2.1 从附件 2 中筛选出复混肥料的产品，将所有复混肥料按照总无机养分百分比的取值等距分为 10 组。根据每个产品所在的分组，为其打上分组标签（标签用 1~10 表示），将完整的结果保存到文件“result2_1.xlsx”中。分析复混肥料产品的分布特点，在报告中绘制产品登记数量的直方图，给出处理思路及过程，并按登记数量从大到小列出登记数量最大的前 3 个分组及相应的产品登记数量。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:48.243951Z",
     "start_time": "2021-11-14T04:51:47.458025Z"
    }
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>企业名称</th>\n",
       "      <th>产品通用名称</th>\n",
       "      <th>产品形态</th>\n",
       "      <th>总氮百分比</th>\n",
       "      <th>P2O5百分比</th>\n",
       "      <th>K2O百分比</th>\n",
       "      <th>含氯情况</th>\n",
       "      <th>有机质百分比</th>\n",
       "      <th>正式登记证号</th>\n",
       "      <th>发证日期</th>\n",
       "      <th>有效期</th>\n",
       "      <th>产品商品名称</th>\n",
       "      <th>适用作物</th>\n",
       "      <th>总无机养分百分比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>武汉楚天艾科生物工程有限公司</td>\n",
       "      <td>有机-无机复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.2</td>\n",
       "      <td>鄂农肥（2009）准字0001号</td>\n",
       "      <td>2014-02-25</td>\n",
       "      <td>2019-02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.07</td>\n",
       "      <td>低氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0004号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0005号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.10</td>\n",
       "      <td>中氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0006号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>湖北澳特尔化工有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字00079号</td>\n",
       "      <td>2014-10-25</td>\n",
       "      <td>2019-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   序号            企业名称     产品通用名称 产品形态  总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "0   1  武汉楚天艾科生物工程有限公司  有机-无机复混肥料   粒状   0.09     0.06    0.00   无氯     0.2   \n",
       "1   2   嘉施利（应城）化肥有限公司       复混肥料   粒状   0.17     0.17    0.07   低氯     0.0   \n",
       "2   3   嘉施利（应城）化肥有限公司       复混肥料   粒状   0.20     0.05    0.15   无氯     0.0   \n",
       "3   4   嘉施利（应城）化肥有限公司       复混肥料   粒状   0.26     0.08    0.10   中氯     0.0   \n",
       "4   5     湖北澳特尔化工有限公司       复混肥料   粒状   0.15     0.15    0.15   无氯     0.0   \n",
       "\n",
       "              正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比  \n",
       "0   鄂农肥（2009）准字0001号  2014-02-25  2019-02    NaN  NaN      0.15  \n",
       "1   鄂农肥（2009）准字0004号  2014-08-15  2019-08    NaN  NaN      0.41  \n",
       "2   鄂农肥（2009）准字0005号  2014-08-15  2019-08    NaN  NaN      0.40  \n",
       "3   鄂农肥（2009）准字0006号  2014-08-15  2019-08    NaN  NaN      0.44  \n",
       "4  鄂农肥（2009）准字00079号  2014-10-25  2019-10    NaN  NaN      0.45  "
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2 = pd.read_excel(\"program/data/B题-肥料登记数据分析赛题/附件2.xlsx\")\n",
    "data2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
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    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:49.569681Z",
     "start_time": "2021-11-14T04:51:49.533675Z"
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   "outputs": [
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       "      <td>0.15</td>\n",
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       "      <td>鄂农肥（2009）准字00079号</td>\n",
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       "      <th>7597</th>\n",
       "      <td>2214</td>\n",
       "      <td>广西洁源动物无害化处理有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.16</td>\n",
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       "      <td>0.09</td>\n",
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       "      <td>复混肥料</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.30</td>\n",
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       "      <th>7598</th>\n",
       "      <td>2215</td>\n",
       "      <td>广西洁源动物无害化处理有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.09</td>\n",
       "      <td>中氯</td>\n",
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       "      <td>桂农肥(2020)准字3874号</td>\n",
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       "      <th>7604</th>\n",
       "      <td>2221</td>\n",
       "      <td>广西崇左弗恩生物科技有限公司</td>\n",
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       "      <td>粒状</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.16</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>桂农肥(2020)准字3880号</td>\n",
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       "      <td>桔丰</td>\n",
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       "    <tr>\n",
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       "      <td>2226</td>\n",
       "      <td>玉林市绿芬威化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.07</td>\n",
       "      <td>高氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>桂农肥(2020)准字3885号</td>\n",
       "      <td>2020-10-09</td>\n",
       "      <td>2025-10</td>\n",
       "      <td>复混肥料</td>\n",
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       "      <td>0.30</td>\n",
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       "    <tr>\n",
       "      <th>7610</th>\n",
       "      <td>2227</td>\n",
       "      <td>玉林市绿芬威化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>高氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>桂农肥(2020)准字3886号</td>\n",
       "      <td>2020-10-09</td>\n",
       "      <td>2025-10</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5954 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        序号             企业名称 产品通用名称 产品形态  总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "1        2    嘉施利（应城）化肥有限公司   复混肥料   粒状   0.17     0.17    0.07   低氯     0.0   \n",
       "2        3    嘉施利（应城）化肥有限公司   复混肥料   粒状   0.20     0.05    0.15   无氯     0.0   \n",
       "3        4    嘉施利（应城）化肥有限公司   复混肥料   粒状   0.26     0.08    0.10   中氯     0.0   \n",
       "4        5      湖北澳特尔化工有限公司   复混肥料   粒状   0.15     0.15    0.15   无氯     0.0   \n",
       "5        6    嘉施利（应城）化肥有限公司   复混肥料   粒状   0.20     0.05    0.11   无氯     0.0   \n",
       "...    ...              ...    ...  ...    ...      ...     ...  ...     ...   \n",
       "7597  2214  广西洁源动物无害化处理有限公司   复混肥料   粒状   0.16     0.05    0.09   高氯     0.0   \n",
       "7598  2215  广西洁源动物无害化处理有限公司   复混肥料   粒状   0.14     0.04    0.09   中氯     0.0   \n",
       "7604  2221   广西崇左弗恩生物科技有限公司   复混肥料   粒状   0.16     0.08    0.16   无氯     0.0   \n",
       "7609  2226     玉林市绿芬威化肥有限公司   复混肥料   粒状   0.17     0.06    0.07   高氯     0.0   \n",
       "7610  2227     玉林市绿芬威化肥有限公司   复混肥料   粒状   0.15     0.05    0.05   高氯     0.0   \n",
       "\n",
       "                 正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比  \n",
       "1      鄂农肥（2009）准字0004号  2014-08-15  2019-08    NaN  NaN      0.41  \n",
       "2      鄂农肥（2009）准字0005号  2014-08-15  2019-08    NaN  NaN      0.40  \n",
       "3      鄂农肥（2009）准字0006号  2014-08-15  2019-08    NaN  NaN      0.44  \n",
       "4     鄂农肥（2009）准字00079号  2014-10-25  2019-10    NaN  NaN      0.45  \n",
       "5      鄂农肥（2009）准字0007号  2014-08-15  2019-08    NaN  NaN      0.36  \n",
       "...                 ...         ...      ...    ...  ...       ...  \n",
       "7597   桂农肥(2020)准字3873号  2020-10-09  2025-10   复混肥料  NaN      0.30  \n",
       "7598   桂农肥(2020)准字3874号  2020-10-09  2025-10   复混肥料  NaN      0.27  \n",
       "7604   桂农肥(2020)准字3880号  2020-10-09  2025-10     桔丰  NaN      0.40  \n",
       "7609   桂农肥(2020)准字3885号  2020-10-09  2025-10   复混肥料  NaN      0.30  \n",
       "7610   桂农肥(2020)准字3886号  2020-10-09  2025-10   复混肥料  NaN      0.25  \n",
       "\n",
       "[5954 rows x 15 columns]"
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data2[data2['产品通用名称']=='复混肥料']\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上表为删选后的数据(通过筛选名称=”复混肥料“)</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:51.923897Z",
     "start_time": "2021-11-14T04:51:51.904949Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7619, 15), (5954, 15))"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2.shape,data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "附件2.xlsx通过筛选名称为”复混肥料“后从7619行数据变为5954行数据</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:54.209186Z",
     "start_time": "2021-11-14T04:51:54.196191Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.72, 0.0, 0.41612443735304)"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['总无机养分百分比'].max(),data['总无机养分百分比'].min(),data['总无机养分百分比'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "总无机养分百分比最大值为0.72，最小值为0,平均值为0.41612443735304\n",
    "\n",
    "按照分组来的话以0.072为组距分为10组</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:55.176138Z",
     "start_time": "2021-11-14T04:51:55.164151Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.0,\n",
       " 0.072,\n",
       " 0.144,\n",
       " 0.21599999999999997,\n",
       " 0.288,\n",
       " 0.36,\n",
       " 0.43199999999999994,\n",
       " 0.504,\n",
       " 0.576,\n",
       " 0.6479999999999999,\n",
       " 0.72]"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bins"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上表数据为每组</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:51:56.563168Z",
     "start_time": "2021-11-14T04:51:56.547210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7473    False\n",
       "Name: 总无机养分分组标签, dtype: bool"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "step = (data['总无机养分百分比'].max() - data['总无机养分百分比'].min())/10\n",
    "bins = [data['总无机养分百分比'].min() + i*step for i in range(11)]\n",
    "data['总无机养分分组标签'] = pd.cut(data['总无机养分百分比'],bins,labels=['1','2','3','4','5','6','7','8','9','10'])\n",
    "data.loc[data['总无机养分百分比']==0.0,'总无机养分分组标签']=='1'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "对原始数据进行处理得到分组后的新数据\n",
    "\n",
    "<div class=\"mark\">\n",
    "将’总无机养分百分比‘列分为10个组，每组的间隔为0.072</div><i class=\"fa fa-lightbulb-o \"></i></div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:56:27.931740Z",
     "start_time": "2021-11-14T04:56:27.906806Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5954 entries, 1 to 7610\n",
      "Data columns (total 16 columns):\n",
      " #   Column     Non-Null Count  Dtype   \n",
      "---  ------     --------------  -----   \n",
      " 0   序号         5954 non-null   int64   \n",
      " 1   企业名称       5954 non-null   object  \n",
      " 2   产品通用名称     5954 non-null   object  \n",
      " 3   产品形态       5953 non-null   object  \n",
      " 4   总氮百分比      5954 non-null   float64 \n",
      " 5   P2O5百分比    5954 non-null   float64 \n",
      " 6   K2O百分比     5954 non-null   float64 \n",
      " 7   含氯情况       5954 non-null   object  \n",
      " 8   有机质百分比     5954 non-null   float64 \n",
      " 9   正式登记证号     5954 non-null   object  \n",
      " 10  发证日期       5954 non-null   object  \n",
      " 11  有效期        5954 non-null   object  \n",
      " 12  产品商品名称     868 non-null    object  \n",
      " 13  适用作物       0 non-null      object  \n",
      " 14  总无机养分百分比   5954 non-null   float64 \n",
      " 15  总无机养分分组标签  5953 non-null   category\n",
      "dtypes: category(1), float64(5), int64(1), object(9)\n",
      "memory usage: 750.5+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "进行数据分析：  \n",
    "   \n",
    "该表的‘产品商品名称’为868列，缺失5068行  \n",
    "该表的‘适用作物’全部为缺失值</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:53:33.477633Z",
     "start_time": "2021-11-14T04:53:31.907763Z"
    }
   },
   "outputs": [],
   "source": [
    "# data.to_excel(\"result/result2/1result2_1.xlsx\",index=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "新数据保存在\"result/result2/result2_1.xlsx\"</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 画图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:57:03.374201Z",
     "start_time": "2021-11-14T04:57:03.360263Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2098, 1470, 1154,  841,  373,   14,    2,    1,    0,    0],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['总无机养分分组标签'].value_counts().values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上表可知复混肥料的主要分布区间为[7，6，5],对应的“总无机养分百分比”为[0.288,0.432]区间</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:57:13.129280Z",
     "start_time": "2021-11-14T04:57:12.588712Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 6400x2560 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8), dpi=320)\n",
    "\n",
    "x = len(data['总无机养分分组标签'].value_counts())\n",
    "ticks = [0,0.072,0.144,0.216,0.288,0.360,0.432,0.504,0.576,0.648,0.720]\n",
    "\n",
    "plt.bar(data['总无机养分分组标签'].value_counts().index,data['总无机养分分组标签'].value_counts().values,color='steelblue', alpha=0.8)\n",
    "\n",
    "for x,y in enumerate(data['总无机养分分组标签'].value_counts()):\n",
    "    plt.text(x, y+30, y, ha='center')\n",
    "\n",
    "plt.title(\"复混肥料产品的分布特点\",fontsize=35)\n",
    "plt.xlabel(\"区间(以0.072组距)\",fontsize=15)\n",
    "plt.ylabel(\"数量\",fontsize=15)\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上图保存路径为 result/result2/img_2_1.png</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 任务 2.2 从附件 2 中筛选出有机肥料的产品，将产品按照总无机养分百分比和有机质百分比分别等距分为 10 组，并为每个产品打上分组标签 (1,1), (1,2),⋯, (10,10)，将完整的结果保存到文件“result2_2.xlsx”中。请在报告中给出处理思路及过程，并根据分组情况绘制有机肥料产品的分布热力图，其中横轴代表总无机养分分组，纵轴代表有机质分组。在此基础上，分析有机肥料产品的分布特点，并按登记数量从大到小列出登记数量最大的前 3 个分组及相应的产品登记数量。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:07:42.080039Z",
     "start_time": "2021-11-14T05:07:41.258209Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>企业名称</th>\n",
       "      <th>产品通用名称</th>\n",
       "      <th>产品形态</th>\n",
       "      <th>总氮百分比</th>\n",
       "      <th>P2O5百分比</th>\n",
       "      <th>K2O百分比</th>\n",
       "      <th>含氯情况</th>\n",
       "      <th>有机质百分比</th>\n",
       "      <th>正式登记证号</th>\n",
       "      <th>发证日期</th>\n",
       "      <th>有效期</th>\n",
       "      <th>产品商品名称</th>\n",
       "      <th>适用作物</th>\n",
       "      <th>总无机养分百分比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>武汉楚天艾科生物工程有限公司</td>\n",
       "      <td>有机-无机复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.2</td>\n",
       "      <td>鄂农肥（2009）准字0001号</td>\n",
       "      <td>2014-02-25</td>\n",
       "      <td>2019-02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.07</td>\n",
       "      <td>低氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0004号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0005号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.10</td>\n",
       "      <td>中氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0006号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>湖北澳特尔化工有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字00079号</td>\n",
       "      <td>2014-10-25</td>\n",
       "      <td>2019-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   序号            企业名称     产品通用名称 产品形态  总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "0   1  武汉楚天艾科生物工程有限公司  有机-无机复混肥料   粒状   0.09     0.06    0.00   无氯     0.2   \n",
       "1   2   嘉施利（应城）化肥有限公司       复混肥料   粒状   0.17     0.17    0.07   低氯     0.0   \n",
       "2   3   嘉施利（应城）化肥有限公司       复混肥料   粒状   0.20     0.05    0.15   无氯     0.0   \n",
       "3   4   嘉施利（应城）化肥有限公司       复混肥料   粒状   0.26     0.08    0.10   中氯     0.0   \n",
       "4   5     湖北澳特尔化工有限公司       复混肥料   粒状   0.15     0.15    0.15   无氯     0.0   \n",
       "\n",
       "              正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比  \n",
       "0   鄂农肥（2009）准字0001号  2014-02-25  2019-02    NaN  NaN      0.15  \n",
       "1   鄂农肥（2009）准字0004号  2014-08-15  2019-08    NaN  NaN      0.41  \n",
       "2   鄂农肥（2009）准字0005号  2014-08-15  2019-08    NaN  NaN      0.40  \n",
       "3   鄂农肥（2009）准字0006号  2014-08-15  2019-08    NaN  NaN      0.44  \n",
       "4  鄂农肥（2009）准字00079号  2014-10-25  2019-10    NaN  NaN      0.45  "
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2 = pd.read_excel(\"program/data/B题-肥料登记数据分析赛题/附件2.xlsx\")\n",
    "data2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:07:44.340546Z",
     "start_time": "2021-11-14T05:07:44.328557Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7619, 15), (1045, 15))"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data2[data2['产品通用名称']=='有机肥料']\n",
    "data2.shape,data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "从原始数据中取出\"产品通用名称\"为有机肥料的数据\n",
    "\n",
    "从原始的7619行筛选为1045行数据\n",
    "</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:07:46.141721Z",
     "start_time": "2021-11-14T05:07:46.133744Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9, 0.0)"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['有机质百分比'].max(),data['有机质百分比'].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "附件2中的”有机质百分比“最大最小值分别为0.9和0.0</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:07:47.260249Z",
     "start_time": "2021-11-14T05:07:47.244318Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.43, 0.0501)"
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['总无机养分百分比'].max(),data['总无机养分百分比'].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "附件2中的”总无机养分百分比“最大最小值分别为0.43和0.0501</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:13:31.823447Z",
     "start_time": "2021-11-14T05:13:31.806463Z"
    }
   },
   "outputs": [],
   "source": [
    "step_1 = (data['有机质百分比'].max() - data['有机质百分比'].min())/10\n",
    "bins_1 = [data['有机质百分比'].min() + i*step_1 for i in range(11)]\n",
    "data['group_1'] = pd.cut(data['有机质百分比'],bins_1,labels=['1','2','3','4','5','6','7','8','9','10'])\n",
    "# 处理有机质百分比为0的值\n",
    "data.loc[data['有机质百分比']==0,'group_1'] = '1'\n",
    "data.loc[data['有机质百分比']==0.9,'group_1'] = '10'\n",
    "\n",
    "\n",
    "step_2 = (data['总无机养分百分比'].max() - data['总无机养分百分比'].min())/10\n",
    "bins_2 = [data['总无机养分百分比'].min() + i*step_1 for i in range(11)]\n",
    "data['group_2'] = pd.cut(data['总无机养分百分比'],bins_2,labels=['1','2','3','4','5','6','7','8','9','10'])\n",
    "# 处理有机质百分比为0.0501的值\n",
    "data.loc[data['总无机养分百分比']==0.0501,'group_2'] = '1'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "对”有机质百分比“和”总无机养分百分比“先进行独立的分组，再进行组合</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:08:35.678044Z",
     "start_time": "2021-11-14T05:08:35.109329Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>企业名称</th>\n",
       "      <th>产品通用名称</th>\n",
       "      <th>产品形态</th>\n",
       "      <th>总氮百分比</th>\n",
       "      <th>P2O5百分比</th>\n",
       "      <th>K2O百分比</th>\n",
       "      <th>含氯情况</th>\n",
       "      <th>有机质百分比</th>\n",
       "      <th>正式登记证号</th>\n",
       "      <th>发证日期</th>\n",
       "      <th>有效期</th>\n",
       "      <th>产品商品名称</th>\n",
       "      <th>适用作物</th>\n",
       "      <th>总无机养分百分比</th>\n",
       "      <th>group_1</th>\n",
       "      <th>group_2</th>\n",
       "      <th>分组标签</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>231</td>\n",
       "      <td>湖北中化东方肥料有限公司</td>\n",
       "      <td>有机肥料</td>\n",
       "      <td>粉状</td>\n",
       "      <td>0.0267</td>\n",
       "      <td>0.0267</td>\n",
       "      <td>0.0267</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.60</td>\n",
       "      <td>鄂农肥（2009）准字0348号</td>\n",
       "      <td>2015-01-20</td>\n",
       "      <td>2020-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0801</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7,1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>320</td>\n",
       "      <td>武汉市沃农肥业有限公司</td>\n",
       "      <td>有机肥料</td>\n",
       "      <td>粉状</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.45</td>\n",
       "      <td>鄂农肥（2010）准字0595号</td>\n",
       "      <td>2015-01-20</td>\n",
       "      <td>2020-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0501</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6,1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>425</td>\n",
       "      <td>湖北太阳雨三农科技有限公司</td>\n",
       "      <td>有机肥料</td>\n",
       "      <td>粉状</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.45</td>\n",
       "      <td>鄂农肥（2010）准字0915号</td>\n",
       "      <td>2015/11/10</td>\n",
       "      <td>2020-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0501</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6,1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>474</td>\n",
       "      <td>武汉裕龙生物科技有限责任公司</td>\n",
       "      <td>有机肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.45</td>\n",
       "      <td>鄂农肥（2010）准字1116号</td>\n",
       "      <td>2015/11/20</td>\n",
       "      <td>2020-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0501</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6,1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>539</td>\n",
       "      <td>湖北地利奥生物科技有限公司</td>\n",
       "      <td>有机肥料</td>\n",
       "      <td>粉状</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>0.0167</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.45</td>\n",
       "      <td>鄂农肥（2011）准字0038号</td>\n",
       "      <td>2016/03/22</td>\n",
       "      <td>2021-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0501</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6,1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      序号            企业名称 产品通用名称 产品形态   总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "230  231    湖北中化东方肥料有限公司   有机肥料   粉状  0.0267   0.0267  0.0267   无氯    0.60   \n",
       "319  320     武汉市沃农肥业有限公司   有机肥料   粉状  0.0167   0.0167  0.0167   无氯    0.45   \n",
       "424  425   湖北太阳雨三农科技有限公司   有机肥料   粉状  0.0167   0.0167  0.0167   无氯    0.45   \n",
       "473  474  武汉裕龙生物科技有限责任公司   有机肥料   粒状  0.0167   0.0167  0.0167   无氯    0.45   \n",
       "538  539   湖北地利奥生物科技有限公司   有机肥料   粉状  0.0167   0.0167  0.0167   无氯    0.45   \n",
       "\n",
       "               正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比 group_1  \\\n",
       "230  鄂农肥（2009）准字0348号  2015-01-20  2020-01    NaN  NaN    0.0801       7   \n",
       "319  鄂农肥（2010）准字0595号  2015-01-20  2020-01    NaN  NaN    0.0501       6   \n",
       "424  鄂农肥（2010）准字0915号  2015/11/10  2020-11    NaN  NaN    0.0501       6   \n",
       "473  鄂农肥（2010）准字1116号  2015/11/20  2020-11    NaN  NaN    0.0501       6   \n",
       "538  鄂农肥（2011）准字0038号  2016/03/22  2021-03    NaN  NaN    0.0501       6   \n",
       "\n",
       "    group_2 分组标签  \n",
       "230       1  7,1  \n",
       "319       1  6,1  \n",
       "424       1  6,1  \n",
       "473       1  6,1  \n",
       "538       1  6,1  "
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['分组标签'] = data[data.columns[15:]].apply(lambda x: ','.join(x.dropna()),axis=1)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:13:39.021529Z",
     "start_time": "2021-11-14T05:13:39.002580Z"
    }
   },
   "outputs": [],
   "source": [
    "# 转化格式\n",
    "data['group_1'] = data['group_1'].astype('int')\n",
    "data['group_2'] = data['group_2'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T04:45:33.427374Z",
     "start_time": "2021-11-14T04:45:33.272787Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x400 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "uniform_data = np.random.rand(10,10)\n",
    "\n",
    "plt.figure(figsize=(6,5),dpi=80)\n",
    "sns.heatmap(uniform_data)\n",
    "plt.title(\"有机肥料产品的分布热力图\",fontsize=25)\n",
    "plt.xlabel(\"无机养分分组\")\n",
    "plt.ylabel(\"有机质分组\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上图保存路径为 result/result2/img_2_2.png</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:10:41.176281Z",
     "start_time": "2021-11-14T05:10:41.164313Z"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [],
   "source": [
    "del data['group_1']# 有机\n",
    "del data['group_2']# 无机"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:10:43.663230Z",
     "start_time": "2021-11-14T05:10:43.398668Z"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [],
   "source": [
    "data.to_excel(\"result/result2/1result2_2.xlsx\",index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:13:58.910201Z",
     "start_time": "2021-11-14T05:13:58.895241Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6     903\n",
       "7      97\n",
       "8      27\n",
       "1       8\n",
       "9       7\n",
       "10      3\n",
       "Name: group_1, dtype: int64"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['group_1'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上图为 <span class=\"burk\">有机养分分组</span> 情况</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:14:20.483275Z",
     "start_time": "2021-11-14T05:14:20.475281Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    1044\n",
       "5       1\n",
       "Name: group_2, dtype: int64"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['group_2'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T05:16:16.347954Z",
     "start_time": "2021-11-14T05:16:16.338978Z"
    }
   },
   "source": [
    "<div class=\"mark\">\n",
    "上图为 <span class=\"burk\">无机养分分组</span> 情况</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 任务 2.3 从附件 2 中筛选出复混肥料的产品，按照氮、磷、钾养分的百分比，使用聚类算法将这些产品分为 4 类。根据聚类结果为每个产品打上聚类标签（标签用 1~4 表示），并将完整的结果保存到文件“result2_3.xlsx”中。请在报告中给出处理思路及过程，根据聚类标签绘制肥料产品的三维散点图和散点图矩阵，并通过绘制聚类结果的雷达图分析每个聚类的特征。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:50.696972Z",
     "start_time": "2021-11-14T06:09:49.774944Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7619, 15), (5954, 15))"
      ]
     },
     "execution_count": 312,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2 = pd.read_excel(\"program/data/B题-肥料登记数据分析赛题/附件2.xlsx\")\n",
    "data = data2[data2['产品通用名称']=='复混肥料']\n",
    "data2.shape,data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "从原始数据中选出\"产品通用名称\"为复混肥料\n",
    "\n",
    "从原有的7619行变为5954行数据\n",
    "</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:51.509437Z",
     "start_time": "2021-11-14T06:09:51.500438Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5954 entries, 1 to 7610\n",
      "Data columns (total 15 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   序号        5954 non-null   int64  \n",
      " 1   企业名称      5954 non-null   object \n",
      " 2   产品通用名称    5954 non-null   object \n",
      " 3   产品形态      5953 non-null   object \n",
      " 4   总氮百分比     5954 non-null   float64\n",
      " 5   P2O5百分比   5954 non-null   float64\n",
      " 6   K2O百分比    5954 non-null   float64\n",
      " 7   含氯情况      5954 non-null   object \n",
      " 8   有机质百分比    5954 non-null   float64\n",
      " 9   正式登记证号    5954 non-null   object \n",
      " 10  发证日期      5954 non-null   object \n",
      " 11  有效期       5954 non-null   object \n",
      " 12  产品商品名称    868 non-null    object \n",
      " 13  适用作物      0 non-null      object \n",
      " 14  总无机养分百分比  5954 non-null   float64\n",
      "dtypes: float64(5), int64(1), object(9)\n",
      "memory usage: 744.2+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "数据预分析发现“产品商品名称”存在部分缺失值，共缺少5954-868=5068行数据\n",
    "\n",
    "“适用作物”列全部缺失，共5954行数据</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:53.537447Z",
     "start_time": "2021-11-14T06:09:53.513512Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>企业名称</th>\n",
       "      <th>产品通用名称</th>\n",
       "      <th>产品形态</th>\n",
       "      <th>总氮百分比</th>\n",
       "      <th>P2O5百分比</th>\n",
       "      <th>K2O百分比</th>\n",
       "      <th>含氯情况</th>\n",
       "      <th>有机质百分比</th>\n",
       "      <th>正式登记证号</th>\n",
       "      <th>发证日期</th>\n",
       "      <th>有效期</th>\n",
       "      <th>产品商品名称</th>\n",
       "      <th>适用作物</th>\n",
       "      <th>总无机养分百分比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.07</td>\n",
       "      <td>低氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0004号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0005号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   序号           企业名称 产品通用名称 产品形态  总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "1   2  嘉施利（应城）化肥有限公司   复混肥料   粒状   0.17     0.17    0.07   低氯     0.0   \n",
       "2   3  嘉施利（应城）化肥有限公司   复混肥料   粒状   0.20     0.05    0.15   无氯     0.0   \n",
       "\n",
       "             正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比  \n",
       "1  鄂农肥（2009）准字0004号  2014-08-15  2019-08    NaN  NaN      0.41  \n",
       "2  鄂农肥（2009）准字0005号  2014-08-15  2019-08    NaN  NaN      0.40  "
      ]
     },
     "execution_count": 314,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上表为复混肥料的前2行数据</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:55.672226Z",
     "start_time": "2021-11-14T06:09:55.657294Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.42857142857142855"
      ]
     },
     "execution_count": 315,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "P_proportion = (30*2)/((30*2)+(16*5))\n",
    "P_proportion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "$$P在P_2O_5中的含量为0.42857142857142855$$</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:56.589840Z",
     "start_time": "2021-11-14T06:09:56.582858Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8297872340425532"
      ]
     },
     "execution_count": 316,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "K_proportion = (39*2)/((39*2)+16)\n",
    "K_proportion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "$$K在K_2O中的含量为0.8297872340425532$$</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:57.685657Z",
     "start_time": "2021-11-14T06:09:57.668702Z"
    }
   },
   "outputs": [],
   "source": [
    "data['总磷百分比'] = data['P2O5百分比']*P_proportion\n",
    "data['总钾百分比'] = data['K2O百分比']*K_proportion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "以上代码得到 氮、磷、钾养分的百分比</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:09:59.043515Z",
     "start_time": "2021-11-14T06:09:59.029553Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>企业名称</th>\n",
       "      <th>产品通用名称</th>\n",
       "      <th>产品形态</th>\n",
       "      <th>总氮百分比</th>\n",
       "      <th>P2O5百分比</th>\n",
       "      <th>K2O百分比</th>\n",
       "      <th>含氯情况</th>\n",
       "      <th>有机质百分比</th>\n",
       "      <th>正式登记证号</th>\n",
       "      <th>发证日期</th>\n",
       "      <th>有效期</th>\n",
       "      <th>产品商品名称</th>\n",
       "      <th>适用作物</th>\n",
       "      <th>总无机养分百分比</th>\n",
       "      <th>总磷百分比</th>\n",
       "      <th>总钾百分比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.07</td>\n",
       "      <td>低氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0004号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.072857</td>\n",
       "      <td>0.058085</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>嘉施利（应城）化肥有限公司</td>\n",
       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0005号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.021429</td>\n",
       "      <td>0.124468</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   序号           企业名称 产品通用名称 产品形态  总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "1   2  嘉施利（应城）化肥有限公司   复混肥料   粒状   0.17     0.17    0.07   低氯     0.0   \n",
       "2   3  嘉施利（应城）化肥有限公司   复混肥料   粒状   0.20     0.05    0.15   无氯     0.0   \n",
       "\n",
       "             正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比     总磷百分比  \\\n",
       "1  鄂农肥（2009）准字0004号  2014-08-15  2019-08    NaN  NaN      0.41  0.072857   \n",
       "2  鄂农肥（2009）准字0005号  2014-08-15  2019-08    NaN  NaN      0.40  0.021429   \n",
       "\n",
       "      总钾百分比  \n",
       "1  0.058085  \n",
       "2  0.124468  "
      ]
     },
     "execution_count": 318,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上表是得到 氮、磷、钾养分的百分比后的前2行数据</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:10:12.413505Z",
     "start_time": "2021-11-14T06:10:12.406520Z"
    }
   },
   "outputs": [],
   "source": [
    "new_data = data[['总氮百分比','总磷百分比','总钾百分比']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "将氮、磷、钾养分的百分比赋值给新的数据new_data</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:22:39.691490Z",
     "start_time": "2021-11-14T06:22:39.649575Z"
    }
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'GaussianMixture'",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mImportError\u001B[0m                               Traceback (most recent call last)",
      "\u001B[1;32m<ipython-input-325-0fa89208f4ed>\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m      1\u001B[0m \u001B[1;31m# 将肥料分为4类\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m----> 2\u001B[1;33m \u001B[1;32mfrom\u001B[0m \u001B[0msklearn\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mcluster\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mGaussianMixture\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m      3\u001B[0m \u001B[0mkm\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mGaussianMixture\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mn_clusters\u001B[0m\u001B[1;33m=\u001B[0m\u001B[1;36m4\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      4\u001B[0m \u001B[0mkm\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mfit\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mnew_data\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;31mImportError\u001B[0m: cannot import name 'GaussianMixture'"
     ]
    }
   ],
   "source": [
    "# 将肥料分为4类\n",
    "from sklearn.cluster import GaussianMixture\n",
    "km = GaussianMixture(n_clusters=4)\n",
    "km.fit(new_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "使用KMeans算法进行聚类，分成4类，上方为训练过程</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:10:16.568225Z",
     "start_time": "2021-11-14T06:10:16.555262Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3, 0, ..., 1, 2, 2])"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict = km.predict(new_data)\n",
    "predict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上方为预测过程</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:10:35.596679Z",
     "start_time": "2021-11-14T06:10:35.571742Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th>产品通用名称</th>\n",
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       "      <td>嘉施利（应城）化肥有限公司</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>3</td>\n",
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       "      <td>复混肥料</td>\n",
       "      <td>粒状</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.15</td>\n",
       "      <td>无氯</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂农肥（2009）准字0005号</td>\n",
       "      <td>2014-08-15</td>\n",
       "      <td>2019-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.021429</td>\n",
       "      <td>0.124468</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   序号           企业名称 产品通用名称 产品形态  总氮百分比  P2O5百分比  K2O百分比 含氯情况  有机质百分比  \\\n",
       "1   2  嘉施利（应城）化肥有限公司   复混肥料   粒状   0.17     0.17    0.07   低氯     0.0   \n",
       "2   3  嘉施利（应城）化肥有限公司   复混肥料   粒状   0.20     0.05    0.15   无氯     0.0   \n",
       "\n",
       "             正式登记证号        发证日期      有效期 产品商品名称 适用作物  总无机养分百分比     总磷百分比  \\\n",
       "1  鄂农肥（2009）准字0004号  2014-08-15  2019-08    NaN  NaN      0.41  0.072857   \n",
       "2  鄂农肥（2009）准字0005号  2014-08-15  2019-08    NaN  NaN      0.40  0.021429   \n",
       "\n",
       "      总钾百分比  聚类标签  \n",
       "1  0.058085     2  \n",
       "2  0.124468     3  "
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['聚类标签'] = predict\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-14T06:08:48.037511Z",
     "start_time": "2021-11-14T06:08:46.601782Z"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [],
   "source": [
    "del data['总磷百分比']\n",
    "del data['总钾百分比']\n",
    "data.to_excel(\"result/result2/result2_3.xlsx\",index=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"mark\">\n",
    "上表数据存储在result/result2/result2_3.xlsx中</div><i class=\"fa fa-lightbulb-o \"></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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